[Purpose/significance] In order to research the evolution rule and the influence mechanism of knowledge dynamic growth in the scientific innovation network from the cognitive perspective of absorbing knowledge, this paper presents a process model of knowledge growth by introducing the complex network theory. [Method/process] Firstly, considering the spatial structure and cognitive features of the knowledge agent to receive knowledge, this paper transformed the actual physical distribution of network knowledge to the cognitive space of knowledge agent based on the law of logarithmic perspective. Secondly, on the basis of analyzing related influence factors and the flow pattern of knowledge absorptive process, the knowledge growth function was constructed. Thirdly, the knowledge growth performance could be calculated from the perspective of efficiency and justice. [Result/conclusion] Knowledge growth performance is decreased first and then increased with increasing structural randomization. When agents own moderate knowledge diffusion and absorptive capacity, knwoledge cumulative effect can achieve an optimal level. Meanwhile, the cognitive process of agents to receive knowledge is restrained by the logarithmic law, and the growth performance will increase with the increasing congnitive radius.
Li Gang
,
Ba Zhichao
,
Xu Jian
. Research on the Influence of Knowledge Absorption on Knowledge Growth Performance[J]. Library and Information Service, 2017
, 61(11)
: 5
-12
.
DOI: 10.13266/j.issn.0252-3116.2017.11.001
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